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Music Genre Classification with Neural Networks by Karen Karapetyan is a document available to read on EtoBox.

The document outlines two tasks: music genre classification using a neural network and text generation with Recurrent Neural Networks (RNN). The music task involves using audio features to classify songs from a dataset like GTZAN, while the text generation task focuses on building an RNN to predict the next word or character from a text corpus. Key concepts include feature extraction, neural networks, and text processing techniques.

Author
Karen Karapetyan
Language
EN